Date of Award
12-2009
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematics and Statistics
First Advisor
Dr. Jiawei Liu - Chair
Second Advisor
Dr. Yu-sheng Hsu
Third Advisor
Dr. Gengsheng Qin
Fourth Advisor
Dr. Yuanhui Xiao
Abstract
The DNA microarray biotechnology simultaneously monitors the expression of thousands of genes and aims to identify genes that are differently expressed under different conditions. From the statistical point of view, it can be restated as identify genes strongly associated with the response or covariant of interest. The Gene Set Enrichment Analysis (GSEA) method is one method which focuses the analysis at the functional related gene sets level instead of single genes. It helps biologists to interpret the DNA microarray data by their previous biological knowledge of the genes in a gene set. GSEA has been shown to efficiently identify gene sets containing known disease-related genes in the real experiments. Here we want to evaluate the statistical power of this method by simulation studies. The results show that the the power of GSEA is good enough to identify the gene sets highly associated with the response or covariant of interest.
DOI
https://doi.org/10.57709/1234133
Recommended Citation
Li, Wei, "Analyzing Gene Expression Data in Terms of Gene Sets: Gene Set Enrichment Analysis." Thesis, Georgia State University, 2009.
doi: https://doi.org/10.57709/1234133